most citedPrompt-Based Length Controlled Generation with Reinforcement Learning

2 citations · 2 across the 3 of their papers we have counts for

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cs.CL2024

Prompt-Based Length Controlled Generation with Multiple Control Types

Renlong Jie, Xiaojun Meng, Lifeng Shang +2

Large language models (LLMs) have attracted great attention given their strong performance on a wide range of NLP tasks. In practice, users often expect generated texts to fall wit…

cs.CL2023★ 2 cited

Prompt-Based Length Controlled Generation with Reinforcement Learning

Renlong Jie, Xiaojun Meng, Lifeng Shang +2

Large language models (LLMs) like ChatGPT and GPT-4 have attracted great attention given their surprising performance on a wide range of NLP tasks. Length controlled generation of…

cs.CL2023

Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video

Zenan Xu, Xiaojun Meng, Yasheng Wang +4

Multimodal abstractive summarization for videos (MAS) requires generating a concise textual summary to describe the highlights of a video according to multimodal resources, in our…